@InProceedings{AndradeMarc:2017:AvAcGP,
author = "Andrade, Fernanda Sandim de and Marcato Junior, Jos{\'e}",
title = "Avalia{\c{c}}{\~a}o da acur{\'a}cia do GPM para a estimativa da
precipita{\c{c}}{\~a}o na Bacia do Alto Paraguai",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "5707--5712",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Precipitation-estimating satellites have a very useful tool to
provide insufficient rainfall data in areas that have scarcity of
rainy stations.The GPM (Global Precipitation Measurement) mission
aims to estimate rainfall of light intensity of 0.5 mm/h, solid
precipitation (snow) and microphysical properties of precipitation
particles.From this, the aim of this work was to assess the
accuracy of the GPM precipitation estimation in the UpperParaguay
Basin, using rainfall data from three rainfall stations of the
National Water Agency (ANA).It was found that the GPM data values
were higher than those of the ANA, generating a RMSE (Root Mean
Square Error) of approximately 90 mm / month.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59925",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMBJ7",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMBJ7",
targetfile = "59925.pdf",
type = "Recursos h{\'{\i}}dricos",
urlaccessdate = "27 abr. 2024"
}